Title :
Acoustic emission signal processing of grinding monitor
Author :
Lv, Changfei ; Li, Haolin
Author_Institution :
Sch. of Opt.-Electr. & Comput., Univ. of shanghai For Sci. &, Shanghai, China
Abstract :
The main contents of this paper are the collection of Acoustic Emission (AE) of grinding and the process of the AE signal. The AE signal data are collected real-time through AE sensor for on-line monitoring of grinding processes based on experiments. A vibrating sensor and DATAQ instruments are used to weaken vibration preliminary and to make the collection and the preserving of the RMS of AE on PC. The procession and analysis of process curve of each single workpiece in a production line of automotive components based on the elimination-anamnesis recursion method (EARM), which can monitor the grinding force online, and also can eliminate the interference and vibration, providing a more effective method for analyzing and processing grinding signal and optimizing the monitor of dressing processes.
Keywords :
acoustic signal processing; grinding; production engineering computing; vibrations; DATAQ instruments; acoustic emission signal processing; elimination-anamnesis recursion method; grinding monitor; vibrating sensor; vibration signal; Acoustic emission; Feeds; Finishing; Force; Monitoring; Random access memory; Switches; Acoustic Emission (AE); Elimination-anamnesis Recursion Method (EARM); grinding force; grinding signal;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646807